NDLI: A computational analysis of lower bounds for big bucket production planning problems

Content Provider	Springer Nature Link
Author	Akartunalı, Kerem Miller, Andrew J.
Copyright Year	2012
Abstract	In this paper, we analyze a variety of approaches to obtain lower bounds for multi-level production planning problems with big bucket capacities, i.e., problems in which multiple items compete for the same resources. We give an extensive survey of both known and new methods, and also establish relationships between some of these methods that, to our knowledge, have not been presented before. As will be highlighted, understanding the substructures of difficult problems provide crucial insights on why these problems are hard to solve, and this is addressed by a thorough analysis in the paper. We conclude with computational results on a variety of widely used test sets, and a discussion of future research.
Starting Page	729
Ending Page	753
Page Count	25
File Format	PDF
ISSN	09266003
Journal	Computational Optimization and Applications
Volume Number	53
Issue Number	3
e-ISSN	15732894
Language	English
Publisher	Springer US
Publisher Date	2012-02-09
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Production planning Lot-sizing Integer programming Strong formulations Lagrangian relaxation Operations Research, Management Science Statistics Operations Research/Decision Theory Optimization Convex and Discrete Geometry
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Optimization Computational Mathematics

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A computational analysis of lower bounds for big bucket production planning problems